Basic Concepts in Generating Capacity Adequacy Evaluation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Generating capacity adequacy evaluation is performed to evaluate the ability of the system generating capacity to meet the total system load. There are several basic reliability indices normally used to represent this ability and a wide range of methods have been developed to perform the evaluation. Although the basic reliability indices have been used for some time, there are still some misconceptions that need to be examined and discussed. Two computer programs have been used to conduct basic generating capacity adequacy evaluation. The simulation program provides the opportunity to extend the basic indices normally calculated using an analytical program to include index probability distributions. These concepts are illustrated in this paper together with some fundamental considerations regarding the basic indices and their interpretation. The concepts presented are illustrated by application to two published reliability test systems
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it